Functionally characterizing obesity-susceptibility genes using CRISPR/Cas9, in vivo imaging and deep learning

Abstract Hundreds of loci have been robustly associated with obesity-related traits, but functional characterization of candidate genes remains a bottleneck. Aiming to systematically characterize candidate genes for a role in accumulation of lipids in adipocytes and other cardiometabolic traits, we...

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Bibliographic Details
Main Authors:	Eugenia Mazzaferro, Endrina Mujica, Hanqing Zhang, Anastasia Emmanouilidou, Anne Jenseit, Bade Evcimen, Christoph Metzendorf, Olga Dethlefsen, Ruth JF Loos, Sara Gry Vienberg, Anders Larsson, Amin Allalou, Marcel den Hoed
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-02-01
Series:	Scientific Reports
Subjects:	Zebrafish CRISPR/Cas9 Fluorescence microscopy Deep learning Image analysis
Online Access:	https://doi.org/10.1038/s41598-025-89823-2
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Functionally characterizing obesity-susceptibility genes using CRISPR/Cas9, in vivo imaging and deep learning

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